Motorola Data Systems consolidates data from many sources into a single repository stored in Hadoop clusters on-premise or processed using Google Cloud Platform. This allows for a 360-degree view of data from sources like supply chain, device telemetry, and warranty claims. BigQuery provides a scalable and easy to use data warehouse for storing and analyzing processed data in the cloud. App Engine and Cloud Storage are also used to process and ingest data dynamically at scale.

1. Motorola Data Systems

2. Motorola Data Systems Use Case
● Many data sources
supply chain, factory shipment, test artifacts, JIRA,
activation, provisioning, device telemetry, upgrade, factory
repair, warranty claim, marketing data...
● One repository
● Load first, ask questions later
● 360 degree view

3. Motorola Data Systems : Hadoop Stack
On premise Hadoop Clusters
Visualization
HDFS
MapReduce
Enterprise Data
Warehouse
Processed Data
Processed Data

4. Motorola Data Systems : Google Cloud Platform
Visualization
Enterprise Data
Warehouse
?
Processed Data
(BigQuery)

5. Motorola Data Systems : Google Cloud Platform
Process perdevice data
(App Engine)
Enterprise Data
Warehouse
Raw data
(Cloud Storage)
Visualization
Processed Data
(BigQuery)
Processing
(Hadoop on GCE)

6. Journey To The Cloud
● BigQuery is the killer app
● Fast + Scalable, Easy to use + Feature rich
● Drive adoption rate
● App Engine for "map only" pattern
● Micro-batch data ingestion
● Dynamic scaling

7. THANK
YOU